I am an accomplished graduate researcher with a love of sports and data science. My research interests have primarily focused on the impact athlete leaders have on their teammates and team as a whole.
With 8+ years of graduate level research and analytical experience, I have a strong background in qualitative and quantitative statistical analyses. My experience with supervised and unsupervised modeling includes predictive modeling, meta-analysis, psychometric evaluations, network analyses, and data visulization. I thrive in a collaborative environment, where I can communicate openly, foster teamwork to solve problems, and work independently.
My Skills
Excel
10+ years of experience
I’ve been using Microsoft Excel since the beginning of my bachelor’s degree, mainly to collect and clean data before uploading the file to another software for analysis.
SPSS
10+ years of experience
I’ve been using SPSS since the beginning of my bachelor’s degree. The main use has been to run basic analyses (e.g., t-test, ANOVA) for class projects.
SPSS AMOS
5+ years of experience
I started using SPSS AMOS during my Master’s degree. AMOS is a structural equation modeling (SEM) software capable of extending standard multivariate analysis methods, including regression, factor analysis, correlation, and analysis of variance.
JASP
5+ years of experience
I started using JASP during Master’s degree. JASP is an open-source project supported by the University of Amsterdam. JASP is a flexible software that offers standard analysis procedures in both Frequentist and Bayesian form.
VOSviewer
Less than 5 years of experience
I started using VOSviewer during my PhD. VOSviewer is a software tool for constructing and visualizing bibliometric networks. These networks can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature
RStudio
Less than 5 years of experience
I started using R and RStudio during my PhD. RStudio is an Integrated Development Environment (IDE) for R, a programming language for statistical computing. The open source nature of R makes it a cost-effective and transparent way of undertaking data science
R Markdown
Less than 5 years of experience
I started using R Markdown during my PhD. R Markdown provides a framework for data science, allowing users to execute code and generate high quality reports. R Markdown documents are fully reproducible and support multiple languages, including R, Python, and SQL.
Mplus
Less than 5 years of experience
I started using Mplus during my PhD. Mplus is a powerful statistical package used for the analysis of latent variables (i.e,. continuous and categorical), including exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling, and multilevel modeling.
GitHub
Less than 5 years of experience
I started using GitHub during my PhD. GitHub is an open source version control system, allowing researchers to manage and store revisions of projects. Essentially, GitHub is a filing system for every draft of a document (e.g., R script, csv file, Word document).
Languages
Education
2018-2023
University of Windsor
PhD in Kinesiology
Thesis: Athlete Leadership in Sport: meta-analysis and development of a shortened questionnaire
2016-2018
University of Windsor
Master of Human Kinetics
Thesis: The implementation of an athlete leadership development program for youth hockey athletes
2010-2015
Concordia University
Bachelor of Arts
Specialization in Psychology
Work Experience
Graduate Teaching Assistant | 2016-22
Department of Kinesiology, University of Windsor
Roles and Responsibilities
• Attending lectures
• Holding office hours
• Consulting with students
• Writing and grading tests
• Grading essays and term papers
• Proctoring exams
Graduate Research Assistant | 2017-23
Department of Kinesiology, University of Windsor
Roles and Responsibilities
• Inputing and analyzing data
• Conducting literature searches
• Assist in writing book and article manuscripts
• Assist in writing grant proposals
Research Assistant | 2014-16
Department of Psychology, Concordia University
Roles and Responsibilities
• Assisting in all aspects of participant recruitment
• Conducting literature searches
• Writing ethic proposals
• Creating and managing online surveys for various studies
• Developing and maintaining participant databases
• Analyzing data
• Writing manuscripts
Research Assistant | 2015
Department of Kinesiology and Physical Education, McGill University
Roles and Responsibilities
• Inputing and analyzing data
• Assist in writing manuscripts
• Assist doctoral student with his ongoing thesis and various research projects
Eastern Canada Sport & Exercise Psychology Symposium (ECSEPS)
Co-Chair Organizing Committee | Chair Conference Programming | 2021
ECSEPS is a student organized conference allowing graduate students the opportunity to share their work among peers and faculty members. The scope of the programming committee was to create and organize conference content, including speaking points, keynote communications, abstracts, moderators, and program and session development.
I coordinated the transition from traditional to virtual conference format due to Covid-19, contributed to the development of the conference program, and managed and moderated individual sessions and luncheon speakers.
Publications
Boisvert, M. M., Loughead, T. M., O’Boyle, E. H. J., & Flemington, A. (submitted). The relationship between athlete leadership behaviours and cohesion in sport: a systematic review and meta-analysis. International Review of Sport and Exercise Psychology. Manuscript ID: 231633823
Hackett, G. M. A., Boisvert, M. M., Loughead, T. M., Hirsch, K. (submitted). Trust in athlete leaders: Examining the impact of the antecedents of trust. Journal Sport Behavior, Pages 23. Manuscript ID: 364-1.
Loughead, T. M., Munroe-Chandler, K. J., Hirsch, K. E., & Boisvert, M. M. (in press). Athlete leadership in sport. In L. Davis, R. Keegan, & S. Jowett. Social Psychology in Sport (2nd ed.). Human Kinetics.
Boisvert, M. M., Loughead, T. M., & Munroe-Chandler, K. J. (2022). The implementation and evaluation of an athlete leadership development program with male youth hockey players. Frontiers in Psychology-Performance Science, 13, 648039. https://doi.org/10.3389/fpsyg.2022.648039
Loughead, T. M., Munroe-Chandler, K. J., Boisvert, M. M., & Hirsch, K. E. (2021). Athlete Leadership. In E. Filho & I. Basevitch (Eds.), Sport, Exercise and Performance Psychology: Research Directions to Advance the Field. New York: Oxford University Press USA
Loughead, T. M., Boisvert, M. M., & Hirsch, K. E. (2021). Coaching cohesive teams. In R. Resendre & R. Gomes (Eds.), Coaching for human development and performance in sports. New York: Springer.
Loughead, T. M., Hirsch, K. E., Boisvert, M. M., & Maechel, C. (2020). Athlete leadership in youth sport. In M. Bruner, M. A. Eys, & L. Martin (Eds.), The power of groups in youth sport (pp. 73-89). London, UK: Elsevier/Academic Press.
Boisvert, M. M., & Loughead, T. M. (2020). Is A “C” Really Necessary? In M. L. Sachs, L. Tashman, & S. Razon (Eds.), Performance Excellence: Stories of Success from the Real World of Sport and Exercise Psychology. Rowman & Littlefield Publishers.
Certificates
Consortium for the Advancement of Research Methods and Analysis (CARMA)
CARMA is an interdisciplinary consortium devoted to helping faculty, graduate students, and professionals learn of current developments in various areas of research methods and statistics. CARMA’s goals are to provide continuing education on research methods and data analysis, serve as a resource for those who teach research methods and data analysis, and to foster a sense of community among organizational scholars in research methods
Introduction to Python for Research | January 2023
The short course focused on Python as a general-purpose programming language with a robust ecosystem of data science tools, enabling researchers to streamline data processes, fostering efficiency and rigor in research. The course emphasized foundational skills such as data identification, collection, and preparation using Python. It covered various techniques for collecting data at scale, including programmatic interfaces like WRDS, APIs, and web scraping. I learned to transform data into analysis-ready formats while maintaining documentation and robustness.
Machine Learning in R: Prediction and Clustering | June 2021
Machine learning methods generally focus on clustering approaches (e.g., k-means, dbscan, agglomerative clustering), and predictive approaches (e.g., random forests, LASSO regression, and support vector machines). These models can usefully supplement traditional approaches in organizational research — or in some cases they may supplant them, even out of necessity (e.g., when the number of variables exceeds the number of cases). This CARMA short course provided hands-on experience analyzing and interpreting clustering and predictive models.
Introduction to Structural Equation Modeling with LAVAAN | June 2021
This short course provided an overview of the principals underlying Structural Equation Modeling in R using LAVAAN.
The content covered included measurement model evaluation such as confirmatory factor analysis (CFA), interpreting the parameter estimates, comparing competing measurement models for correlated constructs, path model evaluation, and longitudinal models.
Systematic Reviews and Meta-Analysis | June 2020
This short course provided the necessary tools to conduct and publish a meta-analysis/systematic review using best practices.
The content of this course included developing research questions that can be addressed with meta-analysis, conducting a thorough search of the literature, providing accurate and reliable coding, correcting for various statistical artifacts, and analyzing bivariate relationships (e.g., correlations, mean differences) as well as multivariate ones using meta-regression and meta-SEM.
Introduction to Bayesian Analysis | June 2020
This short course introduced the concepts and methodology of Bayesian statistics. Topics included Bayes’ rule, likelihood functions, prior and posterior distributions, Bayesian point estimates and intervals, Bayesian hypothesis testing, and prior specification.
Additional topics included Bayesian regression, model selection, prediction, diagnostics, Bayes factors, and exploratory factor analysis. We also reviewed practical implementations of Markov chain Monte Carlo and hierarchical models using R and JAGS and discuss conceptual differences between the Bayesian and frequentist paradigms.
Conference Presentations
Boisvert, M. M., Loughead, T. M., & van Zyl, L. E. (2023, June). The Psychometric Evaluation of Two Leadership Questionnaires to Assess Athlete Leadership Behaviours. Poster presented to the North American Society for the Psychology of Sport and Physical Activity, Toronto, ON, Canada.
Boisvert, M. M., Loughead, T. M., Flemington, A., & O’Boyle, E. H. (2022, July). The Athlete Leadership-Cohesion Relationship: A Systematic Review and Meta-Analysis. Verbal presentation at the 16th European Congress of Sport & Exercise Psychology. Padova, Italy.
Boisvert, M. M., Loughead, T. M., & Munroe-Chandler, K. J. (2019, Oct.). Examining the relationship between the antecedents of trust and trust in athlete leaders. Poster presented to the Canadian Society for Psychomotor Learning and Sport Psychology, Vancouver, BC, Canada.
Boisvert, M. M., Falcão, W. R., Bianco, T. (2019, Oct). Coach Attitudes and Intentions to Use Sport Psychology for Their Own Benefit. Poster presented at the 34th annual Association for Applied Sport Psychology. Portland, OR, USA.
Boisvert, M. M., Loughead, T. M., & Munroe-Chandler, K. J. (2019, July). The implementation of an athlete leadership development program with elite youth ice hockey players. Verbal presentation at the 15th European Congress of Sport & Exercise Psychology. Münster, Germany.
Boisvert, M. M., Loughead, T. M. (2018, March). The Implementation and Evaluation of an Athlete Leadership Development Program with Youth Hockey Players. Verbal presentation at the 22nd annual Eastern Canada Sport and Exercise Psychology Symposium: An AASP International Regional Conference. Montreal, Quebec, Canada.
Boisvert, M. M., & Loughead, T. M. (2018, March) Implementing an athlete leadership development program with male youth hockey players. 3-minute thesis competition presented at Kinesiology Research Day, Windsor, Ontario.
Boisvert, M. M., & Loughead, T. M. (2018, March) Implementing an athlete leadership development program with male youth hockey players. Poster presented at Kinesiology Research Day, Windsor, Ontario.
Hoffmann, M. D., Boisvert, M. M., Piasecki, P., Loughead, T. M., & Dixon, J. C. (2017, October) Fast or slow? Investigating player approach speed in National Hockey League shootouts and its effect on performance. Poster presented to the Canadian Society for Psychomotor Learning and Sport Psychology, St. John’s, NL, Canada.
Boisvert, M. M., & Loughead, T. M. (2017, March) Athlete leadership and team cohesion: The mediating role of trust in leadership. Poster presented at Kinesiology Research Day, Windsor, Ontario.
Boisvert, M. M., & Loughead, T. M. (2017, February) Athlete leadership and team cohesion: The mediating role of trust in leadership. Presentation to the Midwest Sport and Exercise Psychology Symposium, Detroit, MI, USA.